Method
Detecting DNA regulatory motifs by incorporating positional trends in information content
-
* Corresponding author: Katherina J Kechris kechris@genome.ucsf.edu
1 Department of Statistics, University of California, Berkeley, CA 94720, USA
2 Department of Genome Sciences, Life Sciences Division, Ernest Orlando Lawrence Berkeley National Lab, Cyclotron Road, Berkeley, CA 94720, USA
3 Center for Integrative Genomics, Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA
4 Current address: Department of Biochemistry and Biophysics, 600 16th Street 2240, University of California, San Francisco, CA 94143, USA
5 Current address: Mathematical Institute, University Leiden, 2300 RA Leiden, The Netherlands
Genome Biology 2004, 5:R50 doi:10.1186/gb-2004-5-7-r50
Published: 24 June 2004Additional files
Additional data file 1:
A pdf file giving a detailed account of the data for both the simulations and real data analysis, methods for selecting starting points, evaluation diagnostics and a discussion of the options used in BioProspector and Gibbs Motif Sampler
Format: PDF Size: 96KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional data file 2:
A pdf file giving additional results for the sections 'Effect of the number of starting points' and 'Gibbs Motif Sampler'
Format: PDF Size: 68KB Download file
This file can be viewed with: Adobe Acrobat Reader